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» Stability of Locally Optimal Solutions
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ESWA
2007
100views more  ESWA 2007»
15 years 4 months ago
Using memetic algorithms with guided local search to solve assembly sequence planning
The goal of assembly planning consists in generating feasible sequences to assemble a product and selecting an efficient assembly sequence from which related constraint factors su...
Hwai-En Tseng, Wen-Pai Wang, Hsun-Yi Shih
181
Voted
CVPR
2009
IEEE
17 years 7 days ago
Convexity and Bayesian Constrained Local Models
The accurate localization of facial features plays a fundamental role in any face recognition pipeline. Constrained local models (CLM) provide an effective approach to localizati...
Ulrich Paquet (Imense Ltd)
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 11 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
OR
2004
Springer
15 years 10 months ago
Freight Flow Consolidation in Presence of Time Windows
This contribution addresses the consideration of time windows in the optimization of multi-commodity network flows. For each node, one interval is specified in which the visitati...
Jörn Schönberger, Herbert Kopfer
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 10 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...